## Integrations FAQs algoQA integrates with CI/CD pipelines, test management and defect tools, source control systems, APIs, databases, and test execution clouds. Use the answers below to understand supported tools, import workflows, execution options, and integration requirements. Yes, algoQA supports integration with DevOps tools such as CircleCI, Jenkins, GitLab, and Maven, and ALM tools such as Jira, TestRail, TFS, HPALM, and more. algoQA accelerates automation by generating test scripts in the technology of your choice. These scripts can be stored in your version control or code repository tools. Yes, algoQA supports cross-browser testing with Chrome, Firefox, Microsoft Edge, Internet Explorer, Opera, and Safari. Yes, algoQA supports integration with test management tools like JIRA, TestRail, HP ALM, ZOHO, and TFS. Yes, parallel execution is fully supported. algoQA generates standard test scripts that can be executed in parallel using your preferred CI/CD tools or test runners (e.g., Selenium Grid, TestNG, JUnit, or cloud platforms like BrowserStack, Sauce Labs, etc.). algoQA itself is not required during execution. Yes, test execution can be scheduled and triggered automatically using CI/CD pipelines or job schedulers like Jenkins, GitLab CI, Azure DevOps, etc. Yes, with algoQA, defect management tool integration is possible. Whenever a test case fails, algoQA can create or update defects in defect management tools like JIRA by capturing relevant details such as logs, screenshots, and test data. Yes, algoQA provides out-of-box integration with test management, test data management, source-code management, and defect management tools. Test cases and test data are stored in the respective Application Lifecycle Management (ALM) tools that you are using. HP ALM, TFS, ZOHO, TestRail, and Jira. Yes, scripts generated by algoQA can be readily integrated with Jenkins, GIT, and other CI/CD tools, source code management tools, test management tools, defect management tools, and test execution clouds. algoQA supports MySQL, SQL Server, MongoDB, PostgreSQL, and Amazon Redshift, and Oracle can be supported if there is a need. Yes, you are able to update issues as and when a test case fails. Yes, credentials are required. The password is used in the form of a time-bound access token to ensure security. Yes. Jira can be integrated with algoQA. algoQA scripts can be executed locally or remotely, in sequence or in parallel, either immediately or on a schedule. These executions generate reports, which serve as feedback for developers. This feedback can be integrated into your test management tool, allowing actual results to sit alongside expected results for easy comparison. algoQA integrates seamlessly with Test Management Tools (e.g., TestRail, Xray for Jira), Defect Management Tools (e.g., Jira, Zoho), and Test Execution Clouds (e.g., LambdaTest, BrowserStack, Azure DevOps). When an issue is confirmed as an application defect, you can log it into tools like Jira with a single click. Yes, scripts generated by algoQA are readily executable in CI/CD pipeline. For example, you can leverage CI/CD environments, such as Jenkins for nightly executions. Jenkins, Azure, Bamboo, and GitLab. When scripts are generated in algoQA, they are not automatically executed within a CI/CD environment. By default, to integrate algoQA into a CI/CD pipeline, you need to use specific execution commands to run these scripts as part of the CI/CD process. You can import test cases from TestRail into algoQA. Export test cases from TestRail in a format that algoQA supports, such as CSV. algoQA can also upload the test results from generated scripts to TestRail. Export Test Cases from TestRail in XML or CSV format, then use prompt engineering or auto test case generation feature within algoQA to generate test cases. Record or edit test scenarios, tag test cases, ensure dependencies, set environment variables, execute via Command Prompt, Jenkins, or Third-Party Cloud. Yes, algoQA supports direct import of Postman collections and Swagger collection, with WSDL support. Create a project, select API Automation, upload the collection. algoQA mostly captures UI workflows. API calls from UI can be logged via network browser tools, and API validations can be integrated as additional checks. Yes, algoQA supports all these databases. Yes, algoQA supports chaining steps that involve hitting an API to set data, performing actions on a web application, and validating data in a database. algoQA generates test cases using API collections, which can be in Swagger/Postman collection or in Excel format. Even if Swagger files are not well-documented, if you have proper working APIs, you can use algoQA to generate test cases and scripts. You can modify endpoint URLs, HTTP methods, headers, parameters, body, and authorization. Custom methods can be used for pre-request scripts. The solution supports fully on-prem or hybrid cloud deployment, integrating enterprise LLMs. Yes, algoQA supports scheduled and overnight test execution, report generation, and ensures tests run without manual intervention for 24/7 coverage. Yes, algoQA identifies test gaps and suggests new scenarios by checking developer code throughout the CI/CD process. algoQA's Copilot is an internal AI assistant within the platform, not linked with Microsoft Copilot. Perform API automation, then add database verification by adding a parameter in the node configuration with a DB query. The platform provides built-in actions for both API and database interactions, which can be seamlessly integrated with UI-based test scenarios. algoQA offers scenario-based API automation similar to Postman but integrates UI and API, allows scenario chaining and script generation in multiple languages. Yes, algoQA supports SOAP API automation.